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DATA EXTRAPOLATION TECHNIQUES FOR ENERGY SYSTEMS PLANNING

机译:能源系统规划的数据外推技术

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摘要

This paper first reviews energy planning problems in India at different levels (all India/Rural India/State/District/Block/Village). It surveys the energy scene in rural areas of the Wardha District for applicational study. It deals with the newly proposed statistical extrapolation technique of either moving first from the village level energy scenario to the corresponding block level energy scenario and then from the block level energy scenarios to the district/region level energy profile. It shows how the model is suitably scaled for obtaining the optimal mix of energy resources and technologies for the Wardha District using a computer based mixed integer/linear programming technique. The average absolute /100 error is calculated between the actual district/region level energy scenario and the statistical projected (extrapolated) district/region level energy scenario to gauge the goodness of fit of the proposed statistical extrapolation technique.
机译:本文首先回顾了印度不同级别的能源规划问题(所有印度/农村印度/州/地区/街区/村庄)。它调查了Wardha地区农村地区的能源状况,以进行应用研究。它处理了新提出的统计外推技术,该技术要么先从乡村级别的能源情景移动到相应的区块级别的能源情景,然后再从区块级别的能源情景移动到地区/区域级别的能源分布。它显示了如何使用基于计算机的混合整数/线性规划技术对模型进行适当缩放,以获得沃达地区的能源和技术的最佳组合。在实际的区域/区域级别能源情景与统计预测的(外推的)区域/区域级别能源情景之间计算平均绝对/ 100误差,以衡量所建议的统计推断技术的拟合优度。

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